Category Archives: DL-Learner

Protégé DL-Learner plugin 0.5

Posted on April 25, 2009 by Jens Lehmann

Today, we released a major update of the DL-Learner plugin for Protege 4, the upcoming release of the popular ontology editor. The plugin allows you to get suggestions for axioms you may want to add to your OWL ontology by … Continue reading →

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Protégé DL-Learner plugin 0.1

Posted on December 22, 2008 by Jens Lehmann

Today, we released a plugin for Protege 4, the upcoming release of the popular ontology editor. The plugin allows you to get suggestions for axioms you may want to add to your OWL ontology by analysing the instance data using … Continue reading →

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DL-Learner Build 2008-10-13 released

Posted on October 13, 2008 by Jens Lehmann

Today, we released DL-Learner Build 2008-10-13. DL-Learner is a tool for learning complex class descriptions from examples and background knowledge. It extends Inductive Logic Programming to Description Logics and the Semantic Web. Downloads are available at the sourceforge.net project page. … Continue reading →

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DL-Learner Build 2008-02-18 released

Posted on February 18, 2008 by Jens Lehmann

Hereby, we announce the availability of DL-Learner Build 2008-02-18, the second DL-Learner release. DL-Learner is a tool for learning complex classes from examples and background knowledge. It extends Inductive Logic Programming to Description Logics and the Semantic Web. Downloads are … Continue reading →

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DL-Learner Build 2007-08-31 released

Posted on September 1, 2007 by Jens Lehmann

The AKSW group announces the first release of DL-Learner, which we open sourced recently. DL-Learner is available for download at its sourceforge.net project page. Its goal is to learn class definitions from examples. To do this, it implements various learning … Continue reading →

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DL-Learner open source software project created

Posted on August 23, 2007 by Jens Lehmann

The AKSW research group announces the creation of a new software project called DL-Learner. DL-Learner is a tool for learning concepts in Description Logics (DLs) from user-provided examples. Equivalently, it can be used to learn classes in OWL ontologies from … Continue reading →

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